Department of Animal Production, Non-Destructive Spectral Sensor Unit, Faculty of Agricultural and Forestry Engineering, University of Córdoba, Agrifood Campus of International Excellence (ceiA3), Campus Rabanales, N-IV, km 396, Córdoba, 14014, Spain.
Meat Sci. 2013 Nov;95(3):503-11. doi: 10.1016/j.meatsci.2013.05.020. Epub 2013 May 21.
A handheld micro-electro-mechanical system (MEMS) based spectrometer working in the near infrared region (NIR) (1600-2400nm) was evaluated for in-situ and non-destructive prediction of main fatty acids in Iberian pig (IP) carcasses. 110 IP carcasses were measured. Performance of the instrument was compared with at-line high-resolution NIRS monochromators working in two analysis modes: melted fat samples (transflectance cups) and intact adipose tissues (interactance fiber optic). Standard Error of Prediction (SEP) values obtained on the MEMS-NIRS device were: 0.68% (stearic), 1.30% (oleic), 0.55% (linoleic) and 1% (palmitic), explaining a variability of 83%, 84%, 81% and 78%, respectively. As expected, this represented a loss of predictive capability in comparison to at-line models, even with the same spectral characteristics as on the handheld device. However, the estimated total errors were at the same level for gas chromatography and NIRS analysis. This indicates that the MEMS-NIRS in-situ analysis of each individual carcass provides a cost-effective and real-time quality control system with suitable accuracy.
一种手持式微机电系统（MEMS）基近红外光谱仪（NIR）（1600-2400nm）用于现场和无损预测伊比利亚猪（IP）胴体中的主要脂肪酸。测量了 110 个 IP 胴体。仪器的性能与在线高分辨率 NIRS 分光光度计进行了比较，该分光光度计具有两种分析模式：融化脂肪样品（反射杯）和完整的脂肪组织（相互作用光纤）。在 MEMS-NIRS 设备上获得的预测标准误差（SEP）值分别为：0.68%（硬脂酸）、1.30%（油酸）、0.55%（亚油酸）和 1%（棕榈酸），分别解释了 83%、84%、81%和 78%的变异性。正如预期的那样，与在线模型相比，这代表了预测能力的下降，即使与手持式设备具有相同的光谱特征。然而，气相色谱法和 NIRS 分析的估计总误差水平相同。这表明 MEMS-NIRS 对每个胴体的现场分析提供了具有适当准确性的具有成本效益的实时质量控制系统。
